HALCON allows customers to use Deep Learning technologies in their own applications and even provides free tools to improve efficiency.

Deep Learning opens a new market for vision that was previously closed due to complexity using traditional machine vision​.


Where is it well suited?
  • Defect Detection
  • Identification
  • Grading
Automating menial tasks
  • Picking weeds
  • Replacing manual visual inspection
Automating highly skilled tasks
  • Grading Alfalfa Hay
  • Grading wood stain colors
  • Especially applications where traditional MV isn’t capable or too difficult

Image Classification

  • Assign an entire image to a trained class
  • Individual images labeled via the file structure
  • Simple approach
  • Can workaround the limitations by tiling images

Object Detection

  • Identify and locate objects with a bounding box
  • Improve labeling and training
  • Allow counting and simple post-processing tasks
  • Axis aligned versus object aligned

Semantic Segmentation

  • Classify pixels within an image as belonging to a specific class
  • Allows significant advances in image post processing
  • Allow integration with, for example, vision-guided robotics

Anomaly Detection

  • Possibility to perform an inspection using only a relatively low number of “good” images for the training.
  • Inference results in the “anomaly” that was detected in the inspected image compared to the trained images.